Uday Phalak's Projects
Mapping glaciers in the Hindu Kush Himalaya, in partnership with ICIMOD.
Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
A small course on exploiting and defending neural networks
Indoor Location Competition 2.0
code for "Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images" TMI2020.
Learn how to responsibly deliver value with ML.
MATCH: Metadata-Aware Text Classification in A Large Hierarchy (WWW'21)
Collection of Machine Learning Examples for Azure Databricks
Companion repository for the book Building Machine Learning Powered Applications
This is a repository to collaborate on CS534 team homeworks.
Running deep learning models from multiple frameworks & easy to productionization of these models.
Self-Driving Database Management System from Carnegie Mellon University
user experience for OpenDP MVP
open source driving agent
Build a People Counter app using the Intel® Distribution of the OpenVINO™ Toolkit
Portio Hugo is a simple, minimal and responsive Portfolio Hugo Theme. Portio Hugo is well organized, well-formatted, and named accordingly so it’s easy to change any and all of the design. Portio is built with Bootstrap 4. You can customize it very easily to fit your needs.
Repo for Udacity's Secure & Private AI course
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy. Through a simple app the user can train Alias to react on a custom wake-word/sound, and once trained, Alias can take control over your home assistant by activating it for you.
A library for answering questions using data you cannot see